Top Data & Analytics Jobs

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

The role involves developing quantitative models, leveraging cloud-based solutions, and applying machine learning to improve financial performance and decision-making.

Manage customer experience initiatives by leveraging data science and analytics to drive insights, build dashboards, and improve customer satisfaction, while performing escalations and communicating with stakeholders.

The Data Owner Director will lead data strategy for Deposits products, ensuring data quality, supporting analytics, and mitigating data risks while collaborating with stakeholders to drive business objectives.

The Senior Data Analyst will support data governance initiatives, guide data management activities, assist with best practices, and contribute to metrics reporting.

Lead the design and implementation of data platforms, drive data engineering practices, manage teams, and develop actionable data-driven solutions in a retail environment.

The Senior Lead Data Architect will develop and govern data architecture solutions, ensuring compliance with data policies while leading data governance strategies and collaborating with teams to implement high-quality models.

The Vice President is responsible for overseeing document governance, compliance, risk management, and collaboration across various departments to meet legal and business standards.

The role involves developing and optimizing machine learning models, collaborating with teams, and building scalable data pipelines to enhance customer experiences at Qualtrics.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

Quantitative Research Engineers at Citadel develop technology to support trading strategies, create research platforms, and work collaboratively in a technical environment.

Develop and maintain AI-powered forecasting models, apply machine learning techniques, and collaborate across teams to integrate intelligent systems into business processes.

As Vice President in Quantitative Research Sales Analytics, enhance trade idea generation, improve efficiency, and promote monetization using data analytics and quantitative skills.

Lead innovation in predictive modeling, design ML solutions, collaborate with stakeholders, and enhance value measurement systems to drive Block's growth.

As a Senior Applied Scientist, you will develop and deploy large language models, collaborate on AI projects, and improve AI features for Datadog.

Lead and mentor a team of Machine Learning engineers to design, deliver, and optimize ML systems that impact business revenue while collaborating with cross-functional teams.

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

The TECH Program Associate will gain experience in data science and engineering across multiple teams, completing projects and presenting results. Responsibilities include coding, collaborating on data products, and analyzing requirements.

The role involves researching and applying machine learning methods, developing models for NLP and related tasks, and collaborating across teams for production deployment.

As a Model Risk Program Associate, you'll validate models, assess risks, communicate findings, and uphold standards in model governance.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The role involves leading AML activities, supporting transaction monitoring systems, conducting financial crime investigations, and developing compliance tools.

The Business Solutions Manager will support reporting and analytics for NBCUniversal's Studio Group, engaging with stakeholders to enhance data-driven decision-making, overseeing technical teams, and managing application ecosystems.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

As a PhD intern, utilize machine learning and AI to analyze data, implement algorithms, conduct research, and back-test models